Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions
- DOI
- 10.48550/arxiv.2606.08612
- Published
- 2026
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- Not recorded
- Publisher
- arXiv
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2606.08612,
title = {Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions},
author = {Georgiou, Spyridon and Psiris, Aggelos and Evangelatos, Spyridon and Lagkas, Thomas and Argyriou, Vasileios and Sarigiannidis, Panagiotis and Varlamis, Iraklis and Papadopoulos, Georgios Th.},
year = {2026},
doi = {10.48550/arxiv.2606.08612},
url = {https://doi.org/10.48550/arxiv.2606.08612}
}RIS
TY - JOUR TI - Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions AU - Georgiou, Spyridon AU - Psiris, Aggelos AU - Evangelatos, Spyridon AU - Lagkas, Thomas AU - Argyriou, Vasileios AU - Sarigiannidis, Panagiotis AU - Varlamis, Iraklis AU - Papadopoulos, Georgios Th. PY - 2026 DO - 10.48550/arxiv.2606.08612 UR - https://doi.org/10.48550/arxiv.2606.08612 ER -
APA
Spyridon, G., Aggelos, P., Spyridon, E., Thomas, L., Vasileios, A., Panagiotis, S., Iraklis, V., & Th., P. G. (2026). Facial Expression Recognition in the Deep Learning Era: A Systematic Multi-Criteria Review of Methods, Models, Datasets, Performance, Challenges, and Future Research Directions. https://doi.org/10.48550/arxiv.2606.08612
Source records
- datacite · retrieved 2026-11-10T16:27:48.240Z